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Artykuły w czasopismach na temat "Visual and performative learning"
Sastre, Cibele. "Learning/teaching, creating and performing through LBMS". Journal of Dance & Somatic Practices 12, nr 1 (1.08.2020): 95–106. http://dx.doi.org/10.1386/jdsp_00015_1.
Pełny tekst źródłaGrushka, Kathryn. "Conceptualising Visual Learning as an Embodied and Performative Pedagogy for all Classrooms". Encounters in Theory and History of Education 11 (28.11.2010): 13–23. http://dx.doi.org/10.24908/eoe-ese-rse.v11i0.3167.
Pełny tekst źródłaOwen, Craig, i Sarah Riley. "Teaching Visual Methods Using Performative Storytelling, Reflective Practice and Learning through Doing". Psychology Learning & Teaching 11, nr 1 (1.01.2012): 60–65. http://dx.doi.org/10.2304/plat.2012.11.1.60.
Pełny tekst źródłaGrushka, Kathryn. "Meaning and identities: a visual performative pedagogy for socio‐cultural learning". Curriculum Journal 20, nr 3 (wrzesień 2009): 237–51. http://dx.doi.org/10.1080/09585170903195860.
Pełny tekst źródłaDolan, Jill. "Geographies of Learning: Theatre Studies, Performance, and the "Performative"". Theatre Journal 45, nr 4 (grudzień 1993): 417. http://dx.doi.org/10.2307/3209014.
Pełny tekst źródłaClifton, Shirley, i Kathryn Grushka. "Rendering Artful and Empathic Arts-Based Performance as Action". LEARNing Landscapes 15, nr 1 (23.06.2022): 89–107. http://dx.doi.org/10.36510/learnland.v15i1.1066.
Pełny tekst źródłaSebiane Serrano, Leonardo José. "Mestizo Corporalities: Tropical/vibrant Latin American bodies". Journal of Dance & Somatic Practices 12, nr 1 (1.08.2020): 107–25. http://dx.doi.org/10.1386/jdsp_00016_1.
Pełny tekst źródłaHuebner, Emma June. "TikTok and museum education: A visual content analysis". International Journal of Education Through Art 18, nr 2 (1.06.2022): 209–25. http://dx.doi.org/10.1386/eta_00095_1.
Pełny tekst źródłaTrezise, Bryoni. "Performative pedagogies: feeling the experience of being (the) social in twenty-first century learning". Research in Drama Education: The Journal of Applied Theatre and Performance 25, nr 3 (2.07.2020): 465–79. http://dx.doi.org/10.1080/13569783.2020.1789454.
Pełny tekst źródłaZollinger, Rachel, Mariko O. Thomas, Hollis Moore i Kaitlin Bryson. "Lichenizing Pedagogy: Art Explorations in More-than-Human Performance and Practice". Research in Arts and Education 2022, nr 1 (27.05.2022): 23–33. http://dx.doi.org/10.54916/rae.116995.
Pełny tekst źródłaRozprawy doktorskie na temat "Visual and performative learning"
Zhu, Fan. "Visual feature learning". Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/8218/.
Pełny tekst źródłaHuang, Wang. "Visual Sensation and Performative Cultural Politics: Chinese Literary Text Messages and the Colors of Texts". The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275499580.
Pełny tekst źródłaGoh, Hanlin. "Learning deep visual representations". Paris 6, 2013. http://www.theses.fr/2013PA066356.
Pełny tekst źródłaRecent advancements in the areas of deep learning and visual information processing have presented an opportunity to unite both fields. These complementary fields combine to tackle the problem of classifying images into their semantic categories. Deep learning brings learning and representational capabilities to a visual processing model that is adapted for image classification. This thesis addresses problems that lead to the proposal of learning deep visual representations for image classification. The problem of deep learning is tackled on two fronts. The first aspect is the problem of unsupervised learning of latent representations from input data. The main focus is the integration of prior knowledge into the learning of restricted Boltzmann machines (RBM) through regularization. Regularizers are proposed to induce sparsity, selectivity and topographic organization in the coding to improve discrimination and invariance. The second direction introduces the notion of gradually transiting from unsupervised layer-wise learning to supervised deep learning. This is done through the integration of bottom-up information with top-down signals. Two novel implementations supporting this notion are explored. The first method uses top-down regularization to train a deep network of RBMs. The second method combines predictive and reconstructive loss functions to optimize a stack of encoder-decoder networks. The proposed deep learning techniques are applied to tackle the image classification problem. The bag-of-words model is adopted due to its strengths in image modeling through the use of local image descriptors and spatial pooling schemes. Deep learning with spatial aggregation is used to learn a hierarchical visual dictionary for encoding the image descriptors into mid-level representations. This method achieves leading image classification performances for object and scene images. The learned dictionaries are diverse and non-redundant. The speed of inference is also high. From this, a further optimization is performed for the subsequent pooling step. This is done by introducing a differentiable pooling parameterization and applying the error backpropagation algorithm. This thesis represents one of the first attempts to synthesize deep learning and the bag-of-words model. This union results in many challenging research problems, leaving much room for further study in this area
Walker, Catherine Livesay. "Visual learning through Hypermedia". CSUSB ScholarWorks, 1996. https://scholarworks.lib.csusb.edu/etd-project/1148.
Pełny tekst źródłaOwens, Andrew (Andrew Hale). "Learning visual models from paired audio-visual examples". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107352.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (pages 93-104).
From the clink of a mug placed onto a saucer to the bustle of a busy café, our days are filled with visual experiences that are accompanied by distinctive sounds. In this thesis, we show that these sounds can provide a rich training signal for learning visual models. First, we propose the task of predicting the sound that an object makes when struck as a way of studying physical interactions within a visual scene. We demonstrate this idea by training an algorithm to produce plausible soundtracks for videos in which people hit and scratch objects with a drumstick. Then, with human studies and automated evaluations on recognition tasks, we verify that the sounds produced by the algorithm convey information about actions and material properties. Second, we show that ambient audio - e.g., crashing waves, people speaking in a crowd - can also be used to learn visual models. We train a convolutional neural network to predict a statistical summary of the sounds that occur within a scene, and we demonstrate that the visual representation learned by the model conveys information about objects and scenes.
by Andrew Owens.
Ph. D.
Gontovnik, Monica. "Another Way of Being: The Performative Practices of Contemporary Female ColombianArtists". Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1420473106.
Pełny tekst źródłaPeyre, Julia. "Learning to detect visual relations". Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEE016.
Pełny tekst źródłaIn this thesis, we study the problem of detection of visual relations of the form (subject, predicate, object) in images, which are intermediate level semantic units between objects and complex scenes. Our work addresses two main challenges in visual relation detection: (1) the difficulty of obtaining box-level annotations to train fully-supervised models, (2) the variability of appearance of visual relations. We first propose a weakly-supervised approach which, given pre-trained object detectors, enables us to learn relation detectors using image-level labels only, maintaining a performance close to fully-supervised models. Second, we propose a model that combines different granularities of embeddings (for subject, object, predicate and triplet) to better model appearance variation and introduce an analogical reasoning module to generalize to unseen triplets. Experimental results demonstrate the improvement of our hybrid model over a purely compositional model and validate the benefits of our transfer by analogy to retrieve unseen triplets
Tang-Wright, Kimmy. "Visual topography and perceptual learning in the primate visual system". Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:388b9658-dceb-443a-a19b-c960af162819.
Pełny tekst źródłaShi, Xiaojin. "Visual learning from small training datasets /". Diss., Digital Dissertations Database. Restricted to UC campuses, 2005. http://uclibs.org/PID/11984.
Pełny tekst źródłaLiu, Jingen. "Learning Semantic Features for Visual Recognition". Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3358.
Pełny tekst źródłaPh.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science PhD
Książki na temat "Visual and performative learning"
Black arts in Britain: Literary, visual, performative. Roma: Aracne, 2011.
Znajdź pełny tekst źródłaImagining organizations: Performative imagery in business and beyond. New York, NY: Routledge, 2011.
Znajdź pełny tekst źródłaK, Nayar Shree, i Poggio Tomaso, red. Early visual learning. New York: Oxford University Press, 1996.
Znajdź pełny tekst źródłaM, Moore David, i Dwyer Francis M, red. Visual literacy: A spectrum of visual learning. Englewood Cliffs, N.J: Educational Technology Publications, 1994.
Znajdź pełny tekst źródłaLiberty, Jesse. Learning Visual Basic .NET. Sebastopol, CA: O'Reilly, 2002.
Znajdź pełny tekst źródłaLearning Visual Basic. NET. Beijing: O'Reilly, 2003.
Znajdź pełny tekst źródłaN, Erin Jane, red. Visual handicaps and learning. Wyd. 3. Austin, Tex: PRO-ED, 1992.
Znajdź pełny tekst źródłaLearning through visual displays. Charlotte, North Carolina: Information Age Publishing, Inc., 2013.
Znajdź pełny tekst źródłaVisual impact, visual teaching: Using images to strengthen learning. San Diego, Calif: Brain Store, Inc., 2005.
Znajdź pełny tekst źródłaVisual impact, visual teaching: Using images to strengthen learning. Wyd. 2. Thousand Oaks, CA: Corwin Press, 2009.
Znajdź pełny tekst źródłaCzęści książek na temat "Visual and performative learning"
Lähdesmäki, Tuuli, Jūratė Baranova, Susanne C. Ylönen, Aino-Kaisa Koistinen, Katja Mäkinen, Vaiva Juškiene i Irena Zaleskiene. "Multimodality: Art as a Meaning-Making Process". W Learning Cultural Literacy through Creative Practices in Schools, 31–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89236-4_3.
Pełny tekst źródłaCrowhurst, Michael, i Michael Emslie. "Performative Analysis". W Working Creatively with Stories and Learning Experiences, 27–37. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69754-3_3.
Pełny tekst źródłaWulf, Christoph, Birgit Althans, Kathrin Audehm i Juliane Engel. "Learning as a performative social process". W Learning as Social Practice, 103–45. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series: Foundations and futures of education: Routledge, 2021. http://dx.doi.org/10.4324/9781003139188-5.
Pełny tekst źródłaDahl, Thomas. "The poiesis and mimesis of learning". W Performative Approaches in Arts Education, 11–24. Abingdon, Oxon ; New York, NY : Routledge, 2019. | Series: Routledge research in education: Routledge, 2019. http://dx.doi.org/10.4324/9780429444159-2.
Pełny tekst źródłaWilliams, Julian, Julie Ryan i Siân Morgan. "Lesson Study in a Performative Culture". W Workplace Learning in Teacher Education, 151–67. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7826-9_9.
Pełny tekst źródłaBurge, M., i W. Burger. "Learning visual ideals". W Image Analysis and Processing, 316–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63508-4_138.
Pełny tekst źródłaBurge, M., i W. Burger. "Learning visual ideals". W Lecture Notes in Computer Science, 464–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0025067.
Pełny tekst źródłaPanciroli, Chiara, Laura Corazza i Anita Macauda. "Visual-Graphic Learning". W Proceedings of the 2nd International and Interdisciplinary Conference on Image and Imagination, 49–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41018-6_6.
Pełny tekst źródłaLu, Zhong-Lin, i Barbara Anne Dosher. "Visual Perceptual Learning". W Encyclopedia of the Sciences of Learning, 3415–18. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_258.
Pełny tekst źródłaLovegrove, William. "The Visual Deficit Hypothesis". W Learning Disabilities, 246–69. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4613-9133-3_8.
Pełny tekst źródłaStreszczenia konferencji na temat "Visual and performative learning"
Li, Shuwen. "Performative ePortfolio: A learning tool in technical and professional communication class". W 2016 IEEE Professional Communication Society (ProComm). IEEE, 2016. http://dx.doi.org/10.1109/ipcc.2016.7740492.
Pełny tekst źródłaLošonc, Alpar, Andrea Ivanišević i Ivana Katić. "Economic discourse and visual configuration". W 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p53.
Pełny tekst źródłaFratini, Nathalie. "PERFORMATIVE LEARNING METHODS IN VOCATIONAL EDUCATION AND TRAINING TO IMPROVE SOCIAL AND PERSONAL SKILLS". W 12th International Technology, Education and Development Conference. IATED, 2018. http://dx.doi.org/10.21125/inted.2018.0445.
Pełny tekst źródłaGimenez Calpe, Ana. "The Lecture-Performance: Implementing Performative Pedagogy in Literature Class". W Sixth International Conference on Higher Education Advances. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/head20.2020.11186.
Pełny tekst źródłaBuijs, Jean M., i Michael S. Lew. "Learning visual concepts". W the seventh ACM international conference. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/319878.319880.
Pełny tekst źródłaZhao, Qi, i Christof Koch. "Learning visual saliency". W 2011 45th Annual Conference on Information Sciences and Systems (CISS). IEEE, 2011. http://dx.doi.org/10.1109/ciss.2011.5766178.
Pełny tekst źródłaBERARDI, NICOLETTA, i ADRIANA FIORENTINI. "VISUAL PERCEPTUAL LEARNING". W Proceedings of the International School of Biophysics. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812799975_0034.
Pełny tekst źródłaGuida, Francesco Ermanno, i Ernesto Voltaggio. "Programming Visual Representations. Evolutions of Visual Identities between Tangible and Intangible". W Systems & Design: Beyond Processes and Thinking. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/ifdp.2016.3334.
Pełny tekst źródłaGuangming Chang, Chunfen Yuan i Weiming Hu. "Interclass visual similarity based visual vocabulary learning". W 2011 First Asian Conference on Pattern Recognition (ACPR 2011). IEEE, 2011. http://dx.doi.org/10.1109/acpr.2011.6166597.
Pełny tekst źródłaMahouachi, Dorra, i Moulay A. Akhloufi. "Deep learning visual programming". W Disruptive Technologies in Information Sciences III, redaktorzy Misty Blowers, Russell D. Hall i Venkateswara R. Dasari. SPIE, 2019. http://dx.doi.org/10.1117/12.2519882.
Pełny tekst źródłaRaporty organizacyjne na temat "Visual and performative learning"
Bhanu, Bir. Learning Integrated Visual Database for Image Exploitation. Fort Belvoir, VA: Defense Technical Information Center, listopad 2002. http://dx.doi.org/10.21236/ada413389.
Pełny tekst źródłaEdelman, Shimon, Heinrich H. Buelthoff i Erik Sklar. Task and Object Learning in Visual Recognition. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1991. http://dx.doi.org/10.21236/ada259961.
Pełny tekst źródłaJiang, Yuhong V. Implicit Learning of Complex Visual Contexts Under Non-Optimal Conditions. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2007. http://dx.doi.org/10.21236/ada482119.
Pełny tekst źródłaPoggio, Tomaso, i Stephen Smale. Hierarchical Kernel Machines: The Mathematics of Learning Inspired by Visual Cortex. Fort Belvoir, VA: Defense Technical Information Center, luty 2013. http://dx.doi.org/10.21236/ada580529.
Pełny tekst źródłaHarmon, Dr Jennifer. Exploring the Efficacy of Active and Authentic Learning in the Visual Merchandising Classroom. Ames: Iowa State University, Digital Repository, listopad 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1524.
Pełny tekst źródłaYu, Wanchi. Implicit Learning of Children with and without Developmental Language Disorder across Auditory and Visual Categories. Portland State University Library, styczeń 2000. http://dx.doi.org/10.15760/etd.7460.
Pełny tekst źródłaKulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, wrzesień 2021. http://dx.doi.org/10.31979/mti.2021.2015.
Pełny tekst źródłaNahorniak, Maya. Occupation of profession: Methodology of laboratory classes from practically-oriented courses under distance learning (on an example of discipline «Radioproduction»). Ivan Franko National University of Lviv, luty 2022. http://dx.doi.org/10.30970/vjo.2022.51.11412.
Pełny tekst źródłaAhmed AlGarf, Yasmine. From Self-Awareness to Purposeful Employment: Guiding Egyptian youth using arts-based learning. Oxfam IBIS, sierpień 2021. http://dx.doi.org/10.21201/2021.7932.
Pełny tekst źródłaDale, Naomi, Aneesa Khan i Sophie Dale. Early intervention for vision and neurodevelopment in infants and very young children with visual impairment: a systematicreview. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, sierpień 2022. http://dx.doi.org/10.37766/inplasy2022.8.0080.
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